Motion-Based Recognition

Ramesh Jain

ISBN 10: 9048148707 / ISBN 13: 9789048148707

Published by Springer Netherlands Dez 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing. 388 pp. Englisch.

Seller Inventory # 9789048148707

Bibliographic Details

• Title: Motion-Based Recognition
• Publisher: Springer Netherlands Dez 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 9048148707
• ISBN 13: 9789048148707
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 587 grams

About this title

Synopsis

Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition.
This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition.
Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.